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title: README
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title: README
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<div align="center">
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# Vikhram Labs
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**Multilingual AI · Efficient Foundation Models · Low-Resource NLP · Reasoning Systems · RAG · Biomedical AI · Sovereign AI Infrastructure**
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[Website](https://vikhram-s.github.io/) · [GitHub](https://github.com/Vikhram-S) · [Google Scholar](https://scholar.google.com/citations?user=L2y8aqgAAAAJ) · [LinkedIn](https://www.linkedin.com/in/vikhram-s) · [ORCID](https://orcid.org/0009-0002-5300-7591)
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</div>
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---
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## About
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Vikhram Labs is the research organization of **Vikhram S**, an AI researcher working at the intersection of multimodal intelligence, explainable machine learning, and public-interest technology. The lab builds AI systems for high-stakes, real-world domains — medicine, law, and public safety — with an emphasis on transparency, reliability, and reasoning under uncertainty.
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Vikhram S earned his B.E. in Electronics and Communication Engineering from Saveetha Engineering College, India (2026), where he now advises the [Tech Society](https://techsociety.vercel.app/) on machine learning research and mentors undergraduate researchers.
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## Research Focus
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- **Vision–Language Models & Explainable AI** — interpretable multimodal architectures for clinical decision support
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- **Multilingual & Low-Resource NLP** — models and benchmarks for underrepresented languages, including Indic languages
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- **Reasoning Systems & RAG** — retrieval-augmented, confidence-aware inference pipelines
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- **Biomedical AI** — dermatological diagnosis, radiology report synthesis and interpretation
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- **Sovereign AI Infrastructure & Legal NLP** — constitutional and civic-technology AI systems
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- **AI for Public Safety & Gender Empowerment** — applied AI for social impact
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## Featured Work
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| Project | Description |
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| [**NariRaksha-3B**](https://huggingface.co/vikhram-labs/NariRaksha-3B) | Model powering gender-responsive AI research for women's safety |
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| [**NariRaksha-100K**](https://huggingface.co/datasets/vikhram-labs/NariRaksha-100K) | Dataset supporting the NariRaksha initiative |
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| [**IndicConBench**](https://huggingface.co/datasets/vikhram-labs/IndicConBench) | Benchmark dataset for Indic-language conversational AI |
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| **IndianConstitution** ([PyPI](https://pypi.org/project/IndianConstitution/)) | Open-source constitutional/legal NLP package — 33,000+ downloads |
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## Selected Publications & Recognition
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- **NariRaksha: Gender-Responsive AI for Women's Safety** — India AI Impact Summit 2026 Compendium on AI and Gender Empowerment, jointly published by India's Ministry of Electronics and Information Technology (MeitY) and UN Women. Selected as 1 of 23 case studies from 235+ submissions across 50+ countries. [Read →](https://india.un.org/en/311003-real-world-impact-ai-and-gender-empowerment)
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- **Explainable SLM-Guided Vision–Language Model for Multi-Class Skin Lesion Recognition** — Springer *Lecture Notes in Networks and Systems*, ICICC 2026. Ranked in the top 15% of papers reviewed; indexed in Scopus, DBLP, zbMATH, EI Compendex, and SCImago. [DOI →](https://doi.org/10.1007/978-3-032-30310-3_49)
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- **Explainable Vision-Language Generative Models for Radiology Report Image Synthesis and Interpretation** — journal submission in progress
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Full publication list on the [personal site](https://vikhram-s.github.io/publications).
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## Talks & Engagement
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Vikhram has led sessions at Saveetha Engineering College on AI Agents and Open Source Ecosystems, Quantum Machine Learning, Financial Machine Learning, Reproducible Deep Learning, and Cyber Law & Compliance for AI systems — see the full list on the [Talks and Lectures page](https://vikhram-s.github.io/engagements).
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He has also engaged in research and policy discussions with leaders from NVIDIA, Microsoft Research Africa, Google Africa, the World Bank, UN Women, and the University of Pretoria — see [Media](https://vikhram-s.github.io/media).
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## Connect
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- 🌐 [vikhram-s.github.io](https://vikhram-s.github.io/)
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- 💻 [github.com/Vikhram-S](https://github.com/Vikhram-S)
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- 🤗 [huggingface.co/Vikhram-S](https://huggingface.co/Vikhram-S)
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- 🎓 [Google Scholar](https://scholar.google.com/citations?user=L2y8aqgAAAAJ) · [ORCID](https://orcid.org/0009-0002-5300-7591) · [Scopus](https://www.scopus.com/authid/detail.uri?authorId=60727105300)
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- 💼 [LinkedIn](https://www.linkedin.com/in/vikhram-s)
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- ✉️ [vikhrams@saveetha.ac.in](mailto:vikhrams@saveetha.ac.in)
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